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Suicide is a serious public health crisis and it has been getting progressively worse. In the past thirty years, suicide deaths in the US have increased by over 30%, with Utah experiencing a shocking 45% increase during that time period. Just last year alone, there were around 48,000 reported cases of suicide nationally - making it now known as the leading cause of death for individuals aged between ten to twenty-four; second only to people aged from twenty-five to forty-five years old.
Recent reviews of genetic associations with suicidal behavior have highlighted the difficulty in identifying significant and common variants3,4. To our knowledge, there haven't been any genome-wide significant (GWS) associations reported for suicidal ideation. This may be due to the heterogeneity expected for suicidal ideation and consequently requiring larger samples to detect risk variants that are commonly shared. Studies on suicide attempts have shown greater success by identifying associated risk factors at or beyond GWS thresholds for subjects diagnosed bipolar disorder5 as well as a non-clinical population study conducted among US soldiers6. A recent case-cohort Denmark-based study also found similar results7.
We have identified several gene associations and pathways that were previously linked to suicide. Epigenetic modifications near PGBD5 and NUP133 genes are associated with quantitative scores for suicidality37. Studies conducted on both men36and women35 indicate an association between increased expression of PHLDB2 and suicidal ideation state changes. Furthermore, we discovered some novel loci related to suicide which had already been found in psychiatric disorders involving the risk of suicidal behavior50. The first onset of psychosis was observed from increased LDHB expression among antipsychotic-naïve schizophrenia patients34 where ARNTL2 along with other core circadian rhythm regulators is often connected with bipolar disorder - individuals suffering from this condition tend towards higher rates of self-harm. In summary, our findings suggest molecular genetic components as possible risks factors not only for suicidal behaviors but also possibly underlying multiple concomitant psychiatric conditions thereby predicting pleiotropy amongst them.
Follow the link of the selected polymorphism to read a brief description of how the selected polymorphism affects Suicidal tendencies and see a list of existing studies.
SNP polymorphisms related to the topic Suicidal tendencies:
rs7569963 | Significant association with suicidal tendencies in the male subgroup. |
rs300774 | Replication of rs300774, a genetic biomarker near ACP1 associated with suicide attempts. |
rs4675690 | Neurotrophin gene breakdown and antidepressant-enhanced suicidal ideation |
rs2462021 | Increased risk of suicide attempts in patients with mood disorders. |
rs358592 | Increased risk of suicidal behaviour, according to research over the last 10 years. |
rs7296262 | A genetic marker associated with suicide attempts: association with cholesterol biosynthesis in the brain. |
rs10437629 | A genetic marker associated with suicidal ideation in university students. |
rs320461 | |
rs2419374 | |
rs2610025 | |
rs3019286 | |
rs3781878 | |
rs4308128 | |
rs4732812 | |
rs4918918 | |
rs6055685 | |
rs6480463 | |
rs7011192 | |
rs7079041 | |
rs7244261 | |
rs10448044 | |
rs10748045 | |
rs10854398 | |
rs11143230 | |
rs11852984 | |
rs12373805 | |
rs13358904 | |
rs17387100 | |
Li Dali, a National Foundation for Outstanding Youth Fund recipient, is a researcher at the School of Life Sciences in East China Normal University. He earned his PhD in genetics from Hunan Normal University in 2007 and conducted collaborative research at Texas A&M University during his doctoral studies. Li Dali and his team have optimized and innovated gene editing technology, leading to the establishment of a world-class system for constructing gene editing disease models.